Results 71 to 80 of about 8,821,946 (173)
Digital Twins for Offshore Wind Operation and Maintenance: A Review
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu +4 more
wiley +1 more source
Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series [PDF]
Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs) provide flexible, general-purpose models for univariate and multivariate time series.
Bulla, Jan
core
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Hidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
doaj +1 more source
ABSTRACT With the massive increase in genomic resources, it is becoming increasingly popular to analyse thousands of loci across many species. However, many of the available genomes are not annotated, which hinders an efficient search for orthologous protein‐coding genes.
Gwenaelle Vigo +4 more
wiley +1 more source
Root volatile profiling reveals domestication‐associated variation in methyl salicylate (MeSA) accumulation in tomato. Summary Methyl salicylate (MeSA) plays diverse roles in the aerial parts of plants. By contrast, its biosynthesis and function in roots remain poorly understood.
Weijiao Wang +5 more
wiley +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Regularized Urdu Speech Recognition with Semi-Supervised Deep Learning
Automatic Speech Recognition, (ASR) has achieved the best results for English, with end-to-end neural network based supervised models. These supervised models need huge amounts of labeled speech data for good generalization, which can be quite a ...
Mohammad Ali Humayun +6 more
doaj +1 more source
Quantile hidden semi-Markov models for multivariate time series. [PDF]
Merlo L +3 more
europepmc +1 more source
Insight of Elementary Steps on the Polyethylene and Polypropylene Co‐Pyrolysis
Pyrolysis of PP initiates first, accelerating PE cracking via secondary radical transfer, leading to n‐hydrocarbon yield enhancement. Py–GC/MS and nanoreactor computation are in agreement on the elementary step proposal. ABSTRACT Pyrolysis with gas chromatography & mass spectrometry (Py–GC/MS) technique was employed to analyze the yield variation of ...
Naiwen Xu +6 more
wiley +1 more source

